Mark D. Plumbley - Citas de Google Académico

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Samer AbdallahJukedeck LimitedDirección de correo verificada de jukedeck.com
Dan StowellQueen Mary University of LondonDirección de correo verificada de eecs.qmul.ac.uk
Wenwu WangDepartment of Electrical and Electronic Engineering, University of SurreyDirección de correo verificada de surrey.ac.uk
Qiuqiang KongPhD student, CVSSP, University of SurreyDirección de correo verificada de surrey.ac.uk
Matthew E. P. DaviesUniversity of CoimbraDirección de correo verificada de dei.uc.pt
Yong XuSenior Research Scientist, Tencent America, Bellevue, USADirección de correo verificada de tencent.com
Emmanuel VincentSenior Research Scientist, InriaDirección de correo verificada de inria.fr
Emmanouil BenetosQueen Mary University of London / The Alan Turing InstituteDirección de correo verificada de qmul.ac.uk
mike daviesProfessor of Signal and Image Processing, University of EdinburghDirección de correo verificada de ed.ac.uk
Dimitrios GiannoulisC4DM, Queen Mary University of londonDirección de correo verificada de credit-suisse.com
Emad M. GraisCardiff Metropolitan University, UK & Helwan University, EgyptDirección de correo verificada de cardiffmet.ac.uk
Rémi GribonvalInria & ENS de LyonDirección de correo verificada de ens-lyon.fr
Mathieu LagrangeCNRS Researcher @ ls2nDirección de correo verificada de cnrs.fr
Andrew J.R. Simpson, PhDResearch Fellow, CVSSP, University of SurreyDirección de correo verificada de surrey.ac.uk
Gerard RomaUniversity of HuddersfieldDirección de correo verificada de hud.ac.uk
Andrew RobertsonCentre for Digital Music, Queen Mary University of LondonDirección de correo verificada de eecs.qmul.ac.uk
Daniele BarchiesiPostdoctoral researcher, Queen Mary University of LondonDirección de correo verificada de eecs.qmul.ac.uk
Juan P BelloProfessor of Music Technology, Computer Science & Engineering, NYUDirección de correo verificada de nyu.edu
Adam StarkQueen Mary University of LondonDirección de correo verificada de eecs.qmul.ac.uk
Mark SandlerQueen Mary University of LondonDirección de correo verificada de eecs.qmul.ac.uk

Mark D. Plumbley

Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey

Dirección de correo verificada de surrey.ac.uk - Página principal

Machine Learning Machine listening Audio source separation Sparse representations Music Information Retrieval


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Best practices for scientific computing G Wilson, DA Aruliah, CT Brown, NPC Hong, M Davis, RT Guy, ... PLoS biology 12 (1), 2014	515	2014
Detection and classification of acoustic scenes and events D Stowell, D Giannoulis, E Benetos, M Lagrange, MD Plumbley IEEE Transactions on Multimedia 17 (10), 1733-1746, 2015	358	2015
Algorithms for nonnegative independent component analysis MD Plumbley IEEE Transactions on Neural Networks 14 (3), 534-543, 2003	273	2003
Context-dependent beat tracking of musical audio MEP Davies, MD Plumbley IEEE Transactions on Audio, Speech, and Language Processing 15 (3), 1009-1020, 2007	262	2007
Sparse representations in audio and music: from coding to source separation MD Plumbley, T Blumensath, L Daudet, R Gribonval, ME Davies Proceedings of the IEEE 98 (6), 995-1005, 2009	244	2009
Acoustic Scene Classification: Classifying environments from the sounds they produce D Barchiesi, D Giannoulis, D Stowell, MD Plumbley IEEE Signal Processing Magazine 32 (3), 16-34, 2015	241	2015
Detection and classification of acoustic scenes and events: An IEEE AASP Challenge D Giannoulis, E Benetos, D Stowell, M Rossignol, M Lagrange, ... IEEE Workshop on Applications of Signal Processing to Audio and Acoustics …, 2013	209	2013
Audio inpainting A Adler, V Emiya, MG Jafari, M Elad, R Gribonval, MD Plumbley IEEE Transactions on Audio, Speech, and Language Processing 20 (3), 922-932, 2012	202	2012
Polyphonic music transcription by non-negative sparse coding of power spectra SA Abdallah, MD Plumbley 5th International Conference on Music Information Retrieval (ISMIR 2004 …, 2004	201	2004
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning D Stowell, MD Plumbley PeerJ 2, e488, 2014	168	2014
Theorems on positive data: On the uniqueness of NMF H Laurberg, MG Christensen, MD Plumbley, LK Hansen, SH Jensen Computational Intelligence and Neuroscience 2008, Article ID 764206, 2008	149	2008
A "nonnegative PCA" algorithm for independent component analysis MD Plumbley, E Oja IEEE Transactions on Neural Networks 15 (1), 66-76, 2004	148	2004
Automatic music transcription and audio source separation MD Plumbley, SA Abdallah, JP Bello, ME Davies, G Monti, MB Sandler Cybernetics and Systems 33 (6), 603-627, 2002	137	2002
Wideband spectrum sensing on real-time signals at sub-Nyquist sampling rates in single and cooperative multiple nodes Z Qin, Y Gao, MD Plumbley, CG Parini IEEE Transactions on Signal Processing 64 (12), 3106-3117, 2016	135	2016
Fast dictionary learning for sparse representations of speech signals MG Jafari, MD Plumbley IEEE Journal of Selected Topics in Signal Processing 5 (5), 1025-1031, 2011	135	2011
Conditions for Nonnegative Independent Component Analysis M Plumbley IEEE Signal Processing Letters 9 (6), 177-180, 2002	134	2002
Detection and classification of acoustic scenes and events: Outcome of the DCASE 2016 challenge A Mesaros, T Heittola, E Benetos, P Foster, M Lagrange, T Virtanen, ... IEEE/ACM Transactions on Audio, Speech and Language Processing 26 (2), 379-393, 2018	133	2018
Evaluation methods for musical audio beat tracking algorithms MEP Davies, N Degara, MD Plumbley Queen Mary University of London, Centre for Digital Music, Tech. Rep. C4DM …, 2009	120	2009
Evaluation of live human–computer music-making: Quantitative and qualitative approaches D Stowell, A Robertson, N Bryan-Kinns, MD Plumbley International Journal of Human-Computer Studies 67 (11), 960-975, 2009	119	2009
Oracle estimators for the benchmarking of source separation algorithms E Vincent, R Gribonval, MD Plumbley Signal Processing 87 (8), 1933-1950, 2007	116	2007

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